Vital responsibilities involved in edtech analysis followed by data analysts to heave the industry

The role of a data analyst is that of a significant marketing executive responsible for tapping a potential consumer base as well as discovering the scope of improvement.

EdTech has a promising future with the present that is excessively dependent upon it considering current circumstances. Perhaps excluding recent developments post-2000s were always a digital-based education that has encouraged comprehensive education. From immediate demands of visuals to teach students efficiently to sharing study material over digital media platforms, the adoption of EdTech was in practice before the COVID-19 outbreak.

EdTech analysis of data includes gathering student databases, educational institution databases, and other data that influence the growth of the company as well as analyzing the routine-based performance of the organization the data analyst belongs to.

Basic divisions of responsibilities

• Interpretation of Data

The new media is endowed with enough resources to help data analysts collect favourable information that would yield profits and benefits to their EdTech establishment. A large quantity of EdTech data is acquired through different EdTech establishments. This requires the data analysts to review this collected data to find out strengths, weaknesses, opportunities, and challenges. By this, they are expected to prepare a report that would imply potential as well as the existing position of the concerned authority. EdTech analysis has its roots in the aspirants who are curious to learn.

• Upscaling Quality

While some of the data analyst roles cater to simply extending a report, a department of the analyst is responsible for determining the unused potential of the EdTech establishment. Moreover, suggesting advising the authority to take actions accordingly.

Roles surrounding EdTech data analyst

• Evaluating Student Behaviour

Attending online lectures and workshops enables students to register which allows data analysts to implement useful EdTech analysis. This is one of the most systematic approaches that make the EdTech establishments stand better from the traditional mode of learning or seminars. Unless it is an authorized course from an institution student data is not recorded in offline education. However, in such a scenario EdTech has a great opportunity to help EdTech platforms to excel by analyzing the type of lessons knowledge seekers are admiring the most. This assists them to make decisions that would in the future allure more students towards a particular EdTech platform. As an analyst, it is also necessary to find out what are the types of content that drive more attention and engagement of students so that further developments are possible.

• Knowing the Competitors

Day by day edtech platforms are significantly gaining relevance and becoming a necessity, as more and more effective platforms start to arrive. Almost a million websites and applications are appearing on the forefront to attract students and impart them with something more than just lectures. In this case, analyzing what the competitors are doing and what is driving their popularity as well as what is the new or extra mile that they are covering. This enhances the performance of the EdTech platform. EdTech data has immense power to facilitate ambitious EdTech analysis and offer the secret behind a company’s success.

• Assessing the Software

The crucial role of a data analyst is to be aware of the advantages and disadvantages of the software, likes and dislikes of the users while they are crawling over the software. Besides, examining the behaviour of the student or the lecturer during their engagement on it. How often people are preferring the software to conduct classes or offering and receiving audio-visual recorded lectures.

• Scrutinizing the EdTech Market

As a start-up, the data analyst of an ed-tech platform is supposed to ensure that uninterrupted lectures are passed on to students from teachers. Feedbacks must be taken seriously to expand services and acquire equity in the education industry. Initially, it is recommended to find out the best edtech platform such as Google and then based on their services, the services of the concerned platform should be designed.

• Shaping Future of EdTech

With the help of analytical information derived from different sources, data analysts can take the concerned EdTech establishment to new heights. After this process, gross analysis can only imply the success or failure of the proposed model. While success would mark a new standard for the failure would alert other EdTech establishments. EdTech analysis ultimately contributes to implanting new trends. These trends lead the academicians as well as students to follow advanced ways of learning that can enhance their delivery and knowledge respectively.